Performance Engineering at Google specialising in systems architecture and performance optimization for distributed storage. My work focuses on performance debugging, architecting next-generation systems and driving initiatives to improve the cost and efficiency of the fleet with XXXM - B$ business impact.

2020 — NowGoogleSoftware Engineer

2020 — Now

San Francisco Bay Area

2019 — 2020Penn State UniversityTeaching Assistant

2019 — 2020

State College, Pennsylvania, United States

Spring 2019 (DBMS): Responsible for designing, grading assignments and holding office hours for Database Management Systems (CMPSC431W)

Fall 2019 (OS): Responsible for grading exams, holding office hours and assisting Professor Trent Jaeger with programming assignments for Operating Systems (CMPSC473)

Spring 2020 (DBMS): Responsible for designing, grading assignments and holding office hours for Database Management Systems (CMPSC431W)

2019 — 2019EYBlockchain Developer

2019 — 2019

Boston, Massachusetts, United States

Developed the event logger and data matrix decoder for EY Ops Chain (a blockchain supply-chain backend service) with Node.js. Worked with Solidity for deploying ERC721-based smart contracts. Used React to incorporate UI improvements.

Implementation of a data matrix decoder reduced the final sprint duration by ~2 weeks. Assisted with system design based on supply chain software requirements for a major pharmaceutical company.

2017 — 2017Indian Institute of Science (IISc)Research Intern @ Database Systems Lab

2017 — 2017

Bengaluru, Karnataka, India

Advisor: Dr. Jayant Haritsa

Debugged and optimized the tuned PostgreSQL cost model in Java, integrated timing module for measuring accurate query execution time in the PostgreSQL code, benchmarked the lab’s learning based cost model with TPC-DS and automated project execution.